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Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations

In: Traffic and Granular Flow '15

Author

Listed:
  • Yufei Yuan

    (Delft University of Technology)

  • Aurélien Duret

    (IFSTTAR-ENTPE, LICIT)

  • Hans van Lint

    (Delft University of Technology)

Abstract

ThisYuan, Yufei paperDuret, Aurélien presentsVan Lint, Hans a generic data assimilation framework based on a mesoscopic-LWR model formulated in Lagrangian-space coordinates and using Lagrangian observations. This is a challenging work since probe trajectories are not directly related to specific vehicle/platoon indexes in the simulation model. Therefore, we develop a method to incorporate probe information and to further estimate states. The proposed method has been validated on a homogeneous road stretch, and it provides promising results for further extension of the framework.

Suggested Citation

  • Yufei Yuan & Aurélien Duret & Hans van Lint, 2016. "Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 555-562, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_70
    DOI: 10.1007/978-3-319-33482-0_70
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